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Subcategories: GERD Inflammatory Bowel Disease Irritable Bowel Syndrome Pancreatic Diseases Peptic Ulcer Disease

Showing 6616-6636 of 7,631 articles

Harnessing the Power of AI for Enhanced Diagnosis and Treatment of Hepatocellular Carcinoma.

Since its advent, artificial intelligence (AI) has been continuously researched, and substantial pro...

Dec 2024 39714118

DLSOM: A Deep learning-based strategy for liver cancer subtyping

Liver cancer is a leading cause of cancer-related mortality worldwide, with its high genetic heter...

Dec 2024 http://arxiv.org/abs/2412.12214v1

Rapid Reconstruction of Extremely Accelerated Liver 4D MRI via Chained Iterative Refinement

Abstract Purpose: High-quality 4D MRI requires an impractically long scanning time for dense k-spa...

Dec 2024 http://arxiv.org/abs/2412.10629v1

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation

Polyp segmentation in colonoscopy is crucial for detecting colorectal cancer. However, it is chall...

Dec 2024 http://arxiv.org/abs/2412.08482v1

A large language model-based approach to quantifying the effects of social determinants in liver transplant decisions

Patient life circumstances, including social determinants of health (SDOH), shape both health outc...

Dec 2024 http://arxiv.org/abs/2412.07924v2

Diagnosis and Severity Assessment of Ulcerative Colitis using Self Supervised Learning

Ulcerative Colitis (UC) is an incurable inflammatory bowel disease that leads to ulcers along the ...

Dec 2024 http://arxiv.org/abs/2412.07806v1

HES-UNet: A U-Net for Hepatic Echinococcosis Lesion Segmentation

Hepatic echinococcosis (HE) is a prevalent disease in economically underdeveloped pastoral areas, ...

Dec 2024 http://arxiv.org/abs/2412.06530v1

The Helicobacter pylori AI-Clinician: Harnessing Artificial Intelligence to Personalize H. pylori Treatment Recommendations

Helicobacter pylori (H. pylori) is the most common carcinogenic pathogen worldwide. Infecting roug...

Dec 2024 http://arxiv.org/abs/2412.06841v1

ColonNet: A Hybrid Of DenseNet121 And U-NET Model For Detection And Segmentation Of GI Bleeding

This study presents an integrated deep learning model for automatic detection and classification o...

Dec 2024 http://arxiv.org/abs/2412.05216v1

AI-Driven Non-Invasive Detection and Staging of Steatosis in Fatty Liver Disease Using a Novel Cascade Model and Information Fusion Techniques

Non-alcoholic fatty liver disease (NAFLD) is one of the most widespread liver disorders on a globa...

Dec 2024 http://arxiv.org/abs/2412.04884v1

Global trends in machine learning applied to clinical research in liver cancer: Bibliometric and visualization analysis (2001-2024).

This study explores the intersection of liver cancer and machine learning through bibliometric analy...

Dec 2024 39654222

Structure-Aware Stylized Image Synthesis for Robust Medical Image Segmentation

Accurate medical image segmentation is essential for effective diagnosis and treatment planning bu...

Dec 2024 http://arxiv.org/abs/2412.04296v1

AI-luminating Artificial Intelligence in Inflammatory Bowel Diseases: A Narrative Review on the Role of AI in Endoscopy, Histology, and Imaging for IBD.

Endoscopy, histology, and cross-sectional imaging serve as fundamental pillars in the detection, mon...

Dec 2024 38452040

Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach

Background: Liver diseases present a significant global health challenge and often require costly,...

Dec 2024 http://arxiv.org/abs/2412.03717v2

Hybrid deep learning-based strategy for the hepatocellular carcinoma cancer grade classification of H&E stained liver histopathology images

Hepatocellular carcinoma (HCC) is a common type of liver cancer whose early-stage diagnosis is a c...

Dec 2024 http://arxiv.org/abs/2412.03084v2

A transformer-based deep learning survival prediction model and an explainable XGBoost anti-PD-1/PD-L1 outcome prediction model based on the cGAS-STING-centered pathways in hepatocellular carcinoma.

Recent studies suggest cGAS-STING pathway may play a crucial role in the genesis and development of ...

Nov 2024 39749665

Browse Categories

Harnessing the Power of AI for Enhanced Diagnosis and Treatment of Hepatocellular Carcinoma.

DLSOM: A Deep learning-based strategy for liver cancer subtyping

Rapid Reconstruction of Extremely Accelerated Liver 4D MRI via Chained Iterative Refinement

SAM-Mamba: Mamba Guided SAM Architecture for Generalized Zero-Shot Polyp Segmentation

A large language model-based approach to quantifying the effects of social determinants in liver transplant decisions

Diagnosis and Severity Assessment of Ulcerative Colitis using Self Supervised Learning

HES-UNet: A U-Net for Hepatic Echinococcosis Lesion Segmentation

The Helicobacter pylori AI-Clinician: Harnessing Artificial Intelligence to Personalize H. pylori Treatment Recommendations

ColonNet: A Hybrid Of DenseNet121 And U-NET Model For Detection And Segmentation Of GI Bleeding

AI-Driven Non-Invasive Detection and Staging of Steatosis in Fatty Liver Disease Using a Novel Cascade Model and Information Fusion Techniques

Global trends in machine learning applied to clinical research in liver cancer: Bibliometric and visualization analysis (2001-2024).

Structure-Aware Stylized Image Synthesis for Robust Medical Image Segmentation

AI-luminating Artificial Intelligence in Inflammatory Bowel Diseases: A Narrative Review on the Role of AI in Endoscopy, Histology, and Imaging for IBD.

Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach

Hybrid deep learning-based strategy for the hepatocellular carcinoma cancer grade classification of H&E stained liver histopathology images

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation

MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans

NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision

MeasureNet: Measurement Based Celiac Disease Identification

DPE-Net: Dual-Parallel Encoder Based Network for Semantic Segmentation of Polyps

A transformer-based deep learning survival prediction model and an explainable XGBoost anti-PD-1/PD-L1 outcome prediction model based on the cGAS-STING-centered pathways in hepatocellular carcinoma.

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